This course builds upon the skills learned during Introduction to Geographic Information Systems (GIS) in Python.
Learn more on More GIS in PythonThis course builds upon the skills learned during Introduction to Geographic Information Systems (GIS) in R.
Learn more on More GIS in RIn this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RThis course will teach you how to build packages using your own custom functions and import them in both Python and R.
Learn more on Packaging and documentationThis short course provides the theoretical knowledge you need to begin using geography for statistical purposes. We suggest combining this course with either Introduction to QGIS, Introduction to GIS in R or Introduction to GIS in Python. Doing so will provide you with a good theoretical and practical knowledge to begin using geography with statistics in your analysis.
Learn more on Practical Geography for StatisticsLoops, Control Flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.
Learn more on Python control flow loops and functionsThe aim of this workshop is to enable participants to review the quality of their administrative data sources, identify how these can be improved and explore how to communicate their quality to users.
Learn more on Quality Assurance of Administrative Data (QAAD) workshopThe course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThe aim of this online course is to give an overall awareness quality in statistics to government statistics producers. This will include guidance for the implementation of quality and the communication of this to users.
Learn more on Quality statistics in governmentLoops, control flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.
Learn more on R control flow loops and functions